Software Engineer, ML Platform (Ai)

TL;DR

Software Engineer, ML Platform (AI Engineering): Building and scaling a next-generation ML Platform to enable productionized machine learning across Riot, at a global scale, with an accent on streamlining deployment and simplifying operations. Focus on creating reliable infrastructure and empowering data scientists and product teams to deliver high-impact machine learning solutions.

Location: Must be based in Los Angeles, USA

Salary: $136,300.00 - $190,800.00 USD + incentive compensation + equity + 401K with company match + medical, dental, vision, and life insurance + short and long-term disability + open PTO.

Company

hirify.global creates games and experiences that make it better to be a player.

What you will do

• Implement and support ML inference infrastructure for real-time and batch serving, including deployment pipelines and CPU/GPU-aware orchestration.
• Collaborate with researchers and game teams to understand product needs and build generalizable, reusable solutions.
• Contribute to CI/CD workflows for ML artifacts, enabling rapid iteration and safe promotion from development to production.
• Develop and maintain tooling for environment and dependency management to ensure reproducible ML runtimes.
• Implement platform observability features such as monitoring, drift detection, resource utilization, and latency tracking.
• Support ML deployment best practices, including multi-version models, blue/green rollouts, shadow deployments, and safe rollback strategies.

Requirements

• 2+ years of experience in software engineering, with time spent on ML/AI, platform, or infrastructure teams.
• Experience with cloud-native systems (e.g., Kubernetes, containers, autoscaling, observability).
• Experience with one or more inference serving frameworks (e.g., NVIDIA Triton, KServe, TorchServe, BentoML, Seldon Core etc).
• Familiarity with GPU orchestration, performance tuning, and cost-aware scheduling.
• Exposure to CI/CD workflows, infrastructure-as-code (e.g., Terraform), and artifact management.
• Proficiency in Python and experience with package management tools (e.g., Conda, Poetry).

Nice to have

• Interest in MLOps and machine learning platforms, with a desire to grow technical depth in this space.
• Familiarity with ML workflow tools (MLFlow, DVC, LakeFS, etc) and drift monitoring strategies.
• Exposure to AB testing and experimentation frameworks, especially in online model evaluation.
• Familiarity with machine learning workflows and experience working with data scientists.
• Passion for player experience, game systems, or creative technology development.

Culture & Benefits

• Open paid time off policy and flexible work schedules.
• Medical, dental, and life insurance.
• Parental leave for you, your spouse/domestic partner, and children.
• 401k with company match.